Air Apps
About Air Apps
At Air Apps, we believe in thinking bigger-and moving faster. We're a family-founded company on a mission to create the world's first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018-and now with offices in both Lisbon and San Francisco-we've remained self-funded while reaching over 100 million downloads worldwide.
Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you'll be a creative force, shaping products that empower people across the globe.
Join us on this journey to redefine resource management-and change lives along the way.
The Role
As a
Data Engineer
at Air Apps, you will be responsible for
designing, building, and optimizing data pipelines, data warehouses, and data lakes
to ensure efficient data processing and analytics. You will work closely with data analysts, scientists, and software engineers to create scalable and reliable data infrastructure that supports business intelligence and machine learning initiatives.
This role requires
expertise in data architecture, ETL processes, and cloud-based data solutions
to handle large volumes of structured and unstructured data.
Responsibilities Design, build, and maintain
scalable data pipelines and ETL workflows
to support analytics and reporting. Develop and optimize
data warehouses and data lakes
using cloud platforms such as
AWS, Google Cloud, or Azure . Implement
real-time and batch data processing solutions
for various business needs. Work with
structured and unstructured data , ensuring proper data modeling and storage strategies. Ensure
data reliability, consistency, and scalability
through best practices in architecture and engineering. Collaborate with
data analysts, scientists, and software engineers
to enable efficient data access and analysis. Automate
data ingestion, transformation, and validation processes
to improve data quality. Monitor and optimize
query performance and data processing efficiency . Implement
security, compliance, and governance standards
for data storage and access control. Stay up to date with
emerging data engineering trends, tools, and technologies . Requirements
Around
4+ years
of experience in
data engineering, software engineering, or database management . Proficiency in
SQL, Python, or Scala
for data processing and automation. Hands-on experience with
cloud-based data solutions
(AWS Redshift, Google BigQuery, Azure Synapse, Snowflake). Experience building
ETL pipelines
with tools such as
Apache Airflow, dbt, Talend, or Fivetran . Strong understanding of
data modeling, schema design, and database optimization . Experience with
big data frameworks
(Apache Spark, Hadoop, Kafka, Flink) is a plus. Familiarity with
orchestration tools, containerization (Docker, Kubernetes), and CI/CD workflows . Knowledge of
data security, governance, and compliance (GDPR, CCPA, SOC 2) . Strong problem-solving and debugging skills with the ability to handle
large-scale data challenges . Experience working in
fast-paced, data-driven environments
with cross-functional teams. What benefits are we offering?
Apple hardware
ecosystem for work. Annual Bonus . Medical Insurance
(including vision & dental). Disability insurance
- short and long-term. 401k
up to 4% contribution. Air Stipend of $3,120/year , paid over 12 monthly installments (for home office, learning, wellness, etc.). Air Conference
- an opportunity to meet the team, collaborate, and grow together.
Diversity & Inclusion
At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger.
Application Disclaimer
At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.
At Air Apps, we believe in thinking bigger-and moving faster. We're a family-founded company on a mission to create the world's first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018-and now with offices in both Lisbon and San Francisco-we've remained self-funded while reaching over 100 million downloads worldwide.
Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you'll be a creative force, shaping products that empower people across the globe.
Join us on this journey to redefine resource management-and change lives along the way.
The Role
As a
Data Engineer
at Air Apps, you will be responsible for
designing, building, and optimizing data pipelines, data warehouses, and data lakes
to ensure efficient data processing and analytics. You will work closely with data analysts, scientists, and software engineers to create scalable and reliable data infrastructure that supports business intelligence and machine learning initiatives.
This role requires
expertise in data architecture, ETL processes, and cloud-based data solutions
to handle large volumes of structured and unstructured data.
Responsibilities Design, build, and maintain
scalable data pipelines and ETL workflows
to support analytics and reporting. Develop and optimize
data warehouses and data lakes
using cloud platforms such as
AWS, Google Cloud, or Azure . Implement
real-time and batch data processing solutions
for various business needs. Work with
structured and unstructured data , ensuring proper data modeling and storage strategies. Ensure
data reliability, consistency, and scalability
through best practices in architecture and engineering. Collaborate with
data analysts, scientists, and software engineers
to enable efficient data access and analysis. Automate
data ingestion, transformation, and validation processes
to improve data quality. Monitor and optimize
query performance and data processing efficiency . Implement
security, compliance, and governance standards
for data storage and access control. Stay up to date with
emerging data engineering trends, tools, and technologies . Requirements
Around
4+ years
of experience in
data engineering, software engineering, or database management . Proficiency in
SQL, Python, or Scala
for data processing and automation. Hands-on experience with
cloud-based data solutions
(AWS Redshift, Google BigQuery, Azure Synapse, Snowflake). Experience building
ETL pipelines
with tools such as
Apache Airflow, dbt, Talend, or Fivetran . Strong understanding of
data modeling, schema design, and database optimization . Experience with
big data frameworks
(Apache Spark, Hadoop, Kafka, Flink) is a plus. Familiarity with
orchestration tools, containerization (Docker, Kubernetes), and CI/CD workflows . Knowledge of
data security, governance, and compliance (GDPR, CCPA, SOC 2) . Strong problem-solving and debugging skills with the ability to handle
large-scale data challenges . Experience working in
fast-paced, data-driven environments
with cross-functional teams. What benefits are we offering?
Apple hardware
ecosystem for work. Annual Bonus . Medical Insurance
(including vision & dental). Disability insurance
- short and long-term. 401k
up to 4% contribution. Air Stipend of $3,120/year , paid over 12 monthly installments (for home office, learning, wellness, etc.). Air Conference
- an opportunity to meet the team, collaborate, and grow together.
Diversity & Inclusion
At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger.
Application Disclaimer
At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.